class_docstr: A stream that generates the entire history of a stream at each time step.
  
  Parameters
  ----------
  min_periods : int, default 1
      The number of periods to wait before producing values from the aggregation
      function.
docstr: Computes an expanding minimum fo the underlying stream.
  
  Returns
  -------
  `Stream[float]`
      An expanding minimum stream.
docstr_tok: ["Computes","an","expanding","minimum","fo","the","underlying","stream",".","Returns","--","--","--","-","`","Stream","[","float","]","`","An","expanding","minimum","stream","."]
code: def min(self) -> "Stream[float]":
      """Computes an expanding minimum fo the underlying stream.
  
      Returns
      -------
      `Stream[float]`
          An expanding minimum stream.
      """
      return self.agg(np.min).astype("float")
  
imports: from typing import Callable, List
  import numpy
  from tensortrade.feed.core.base import Stream
  from tensortrade.feed.api.float import Float
label_desc: Use image node_id 11 for calling the Expanding obj's underlying member method code with example usage: obj.min() and returns: self